Data Engineer - Machine Learning Models (5-8 yrs)

Job Description : Data Engineer (4+ Years Experience)

Position : Data Engineer

Location : Remote

Employment Type : Full-time

Experience : 4+ years

Start Date : Immediate

Job Overview :

We are seeking a skilled and motivated Data Engineer to join our team. The ideal candidate will possess expertise in advanced technologies such as Python, RAG (Retrieval-Augmented Generation), graph databases, API development, Docker, Azure, machine learning (ML), and artificial intelligence (AI). This position requires proficiency in SQL and the ability to fine-tune machine learning models.

Key Responsibilities :

- Design, develop, and implement robust data pipelines and ETL processes.

- Utilize RAG and graph technologies to optimize data retrieval and query performance.

- Build scalable APIs for data services and integration with machine learning models.

- Leverage Docker and containerization for deployment and system scalability.

- Develop and deploy cloud-based solutions on Azure.

- Implement, train, and fine-tune ML and AI models for predictive analytics and automation tasks.

- Manage, query, and optimize relational databases using SQL.

- Collaborate with cross-functional teams to ensure successful project delivery.

Required Skills and Experience :

- 4+ years of experience in data engineering, machine learning, or related fields.

- Proficiency in Python and hands-on experience with AI/ML frameworks.

- Strong understanding of RAG and graph database structures.

- Expertise in API development for scalable solutions.

- Hands-on experience with Docker and cloud platforms like Azure.

- Solid background in relational databases and advanced SQL techniques.

- Experience with fine-tuning machine learning models to meet business objectives.

- Strong problem-solving skills and a proven ability to work in a fast-paced environment.

Nice to Have :

- Experience in Big Data technologies such as Apache Spark or Hadoop.

- Knowledge of Natural Language Processing (NLP) techniques.

- Prior experience with CI/CD pipelines.

- If you meet the above qualifications and are ready to take on an exciting challenge, we'd love to hear from you.